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Title of Journal: Pattern Anal Applic

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Abbravation: Pattern Analysis and Applications

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Springer London

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DOI

10.1016/j.appet.2008.12.001

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ISSN

1433-755X

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On size invariance texture image retrieval by fuzz

Authors: Juan Wang Jiangshe Zhang Mingming Zhao
Publish Date: 2015/08/18
Volume: 19, Issue: 2, Pages: 509-516
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Abstract

The texture image retrieval plays an important role in everyday life of people In this paper a new and efficient image features extraction approach based on scattering transform is proposed for size invariance texture image retrieval The proposed approach obtains texture information in different directions and scales And analysis of size invariance texture image retrieval using fuzzy logic classifier and scattering statistical features is carried out The different size samples of texture image are randomly generated from the original texture images Also average success rate of each size samples is obtained respectively The study shows that statistical features can achieve good performance from the sixth feature

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  14. Unsupervised learning of arbitrarily shaped clusters using ensembles of Gaussian models
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